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University of Zurich, Department of Mathematical Modeling and Machine Learning

Position ID:
University of Zurich-Department of Mathematical Modeling and Machine Learning-POSTDOC [#28670]
Position Title: 
Postdoctoral researcher position in Causal Machine Learning at ETH/University of Zurich in Switzerland
Position Type:
Postdoctoral
Position Location:
Zürich, Zurich 8057, Switzerland
Subject Areas: 
Computer Science / Data Science, Artificial intelligence and machine learning, Health IT, Interdisciplinary Work related to Social or Biological Sciences, Machine Learning
Epidemiology
Health Information Technology
Appl Deadline:
2024/11/15 11:59PMhelp popup (posted 2024/10/02, listed until 2025/04/02)
Position Description:
   

We are searching for a highly motivated postdoctoral researcher who is interested in exploring the application of machine learning and causal inference in the field of epidemiology. Working at the intersection of machine learning, causal inference, and epidemiology, the researcher will develop and implement machine learning algorithms for various problems in the field of epidemiology and healthcare. Some of the problems include:
  1. Causal structure discovery with machine learning / reinforcement learning
  2. Generative modeling based on causal structure
  3. Prediction of patient outcome
In recent years, many methods and approaches based on machine learning have been presented targeting various problems in the field of causal inference. Using such approaches, we are specifically interested in the application of such approaches to real-world data (such as COVID-19 patient data). The candidate will have a chance to work with other Ph.D. students and postdocs, and present their work at various conferences and in journals.

Our research collaboration brings together expertise from multiple interdisciplinary fields. It comprises researchers at the Departments of Mathematics and the Department of Chemistry and Applied Biosciences at ETH Zurich, the Department of Physics and Epidemiology, Biostatistics and Prevention Institute at the University of Zurich.

The researcher will earn a yearly salary of roughly 100k CHF (gross). Zurich is an excellent and diverse city to live in and offers one of the best personal and professional environments globally. The city is well connected within Europe and provides easy connections to the beautiful Swiss Alps.

Qualifications
  1. A Ph.D. degree in mathematics, physics, computer science, biostatistics, or a related quantitative field
  2. Expertise and knowledge in machine learning required 
  3. Experience in causal inference is desired (but not required)
Applicants will be evaluated based on the quality of their previous research and the strength of their reference letters.

Application

If this sounds exciting to you, please apply on AcademicJobsOnline.org directly. The following documents are requested:
  1. A curriculum vitae which includes a list of your publications
  2. A cover letter outlining your motivation
  3. E-mail addresses of two referees who can provide reference letters on your behalf
The position will remain open until filled. Applications received before November 15, 2024 will receive full consideration. If you have any further questions about the position, informal inquiries are also welcome to be addressed to nicola.serra@cern.ch and alessio.figalli@math.ethz.ch.

Application Materials Required:
Submit the following items online at this website to complete your application:
  • Cover letter
  • Curriculum Vitae
  • Two references (no actual letters, just names and email addresses help popup)
And anything else requested in the position description.

Further Info:
https://dm3l.uzh.ch
email address
 
University of Zurich
Department of Mathematical Modeling and Machine Learning
Winterthurerstrasse 190
8057 Zürich